Coordination Groups
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Table of contents
Global overview - Gironde - Labo'M21 : groupe arc en ciel global
Summary - Gironde - Labo'M21 : groupe arc en ciel global
| Criteria of Well-being registered | Homogenous groups | |
|---|---|---|
| Count | 17 | 1 |
Criteria per question - Gironde - Labo'M21 : groupe arc en ciel global
| Question | Total of criteria per question | |
|---|---|---|
| 1 | ACT | 17 |
General stats
Criteria per Dimension
All dimensions together - Gironde - Labo'M21 : groupe arc en ciel global
Criteria per Dimension and question - Gironde - Labo'M21 : groupe arc en ciel global
Criteria per Dimension and Component - Gironde - Labo'M21 : groupe arc en ciel global
Criteria per category - Gironde - Labo'M21 : groupe arc en ciel global
Wordclouds
Comparative Word Clouds enable you to discover the most important terms that you can find in your data: the word appears where is it the most used and its size is proportional to the frequency of its use compared to the average. For instance, if you see the term "children" appearing in big in a given category, this means that it is much more frequent for this category (but can be present in the others as well). When the word is small, that means it is present equally among all categories.
Criteria and question
Registered S3 methods overwritten by 'ggplot2':
method from
[.quosures rlang
c.quosures rlang
print.quosures rlang
Loading required package: RColorBrewer
Loading required package: NLP
Warning message:
In tm_map.SimpleCorpus(corpus, content_transformer(tolower)) :
transformation drops documents
Warning message:
In tm_map.SimpleCorpus(corpus, removeWords, spStopWords) :
transformation drops documents
Warning message:
In tm_map.SimpleCorpus(corpus, removePunctuation) :
transformation drops documents
Error in strwidth(words[i], cex = size[i], ...) : invalid 'cex' value
Calls: comparison.cloud -> strwidth
Execution halted
